Evidence map›Paper›PMID 34865599›Full record

ArticleRenal failure2021

Development and validation of a nomogram for predicting acute kidney injury after orthotopic liver transplantation.

Dandan Guo, Huifang Wang, Xiaoying Lai, Junying Li, Demin Xie, Li Zhen, Chunhui Jiang, Min Li, Xuemei Liu

Open access · goldAbstract readValidation StudyVideo-Audio Media
In one paragraph

Article in Renal failure, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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  17. A Novel Online Calculator Predicting Acute Kidney Injury After Liver Transplantation: A Retrospective Study.Transplant international : official journal of the European Society for Organ Transplantation · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Dandan GuoDepartment of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Huifang WangDepartment of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Xiaoying LaiDepartment of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Junying LiDepartment of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Demin XieDepartment of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Li ZhenDepartment of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Chunhui JiangDepartment of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Min LiDepartment of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Xuemei LiuDepartment of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Qingdao University · CNAffiliated Hospital of Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aim to develop and validate a nomogram model for predicting severe acute kidney injury (AKI) after orthotopic liver transplantation (OLT).

methodsA total of 576 patients who received OLT in our center were enrolled. They were assigned to the development and validation cohort according to the time of inclusion. Univariable and multivariable logistic regression using the forward variable selection routine were applied to find risk factors for post-OLT severe AKI. Based on the results of multivariable analysis, a nomogram was developed and validated. Patients were followed up to assess the long-term mortality and development of chronic kidney disease (CKD).

resultsOverall, 35.9% of patients were diagnosed with severe AKI. Multivariable logistic regression analysis revealed that recipients' BMI (OR 1.10, 95% CI 1.04-1.17,

conclusionsWith excellent predictive abilities, the nomogram may be a simple and reliable tool to identify patients at high risk for severe AKI and poor long-term prognosis after OLT.

Indexed as

BiomarkersLiver TransplantationNomogramsAcute Kidney InjuryFemaleHumansMaleMiddle AgedPostoperative ComplicationsPredictive Value of TestsRisk FactorsSeverity of Illness IndexSurvival AnalysisBiomarkersAcute kidney injuryCKDliver transplantationprediction nomogramprognosisseveresurvival

Identifiers

PMID34865599
PMCPMC8648040
OpenAlexW4200590591

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.